P2P Network Structure Graph Finding for P2P Botnet Detection

被引：0

作者：

Yuan, Zhi-chao ^{[1
]}

Li, Yuan-long ^{[1
]}

Yao, Shan ^{[2
]}

Xia, Chun-he ^{[1
]}

机构：

[1] Beihang Univ, Beijing Key Lab Network Technol, Beijing 100191, Peoples R China

[2] Coordinat Ctr China, Natl Comp Network Emergency Response Tech Team, Beijing 100029, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON COMPUTER, NETWORK SECURITY AND COMMUNICATION ENGINEERING (CNSCE 2014) | 2014年

关键词：

Network security; P2P botnet; Detection;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Botnets are exploited by most experienced network attackers in nowadays. P2P botnets use P2P protocol as the communication protocol of command and control mechanisms. Many researchers study how to detect P2P botnet in the network. Most methods are based on network traffic analysis, but they're not suitable for encrypting traffic. In this paper, we focus on the method of P2P network structure graph finding for P2P botnet detection. The detection algorithm is given to construct the structure of the network and detecting the P2P botnet. We demonstrate the validity of this method with an experimental simulation at last.

引用

页码：697 / 701

页数：5

共 50 条

[1] P2P Botnet Detection Method Based on Graph Neural Network
Lin H.
Zhang Y.
Guo N.
Chen L.
[J]. Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 2022, 54 (02): : 65 - 72
[2] Experiments with P2P Botnet Detection
Riviere, Lionel
Dietrich, Sven
[J]. IT-INFORMATION TECHNOLOGY, 2012, 54 (02): : 90 - 95
[3] An Efficient Botnet Detection System for P2P Botnet
Thangapandiyan, M.
Anand, P. M. Rubesh
[J]. PROCEEDINGS OF THE 2016 IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET), 2016, : 1217 - 1221
[4] Botnet and P2P Botnet Detection Strategies: A Review
Dhayal, Himanshi
Kumar, Jitender
[J]. PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), 2018, : 1077 - 1082
[5] P2P and P2P botnet traffic classification in two stages
Ye, Wujian
Cho, Kyungsan
[J]. SOFT COMPUTING, 2017, 21 (05) : 1315 - 1326
[6] P2P and P2P botnet traffic classification in two stages
Wujian Ye
Kyungsan Cho
[J]. Soft Computing, 2017, 21 : 1315 - 1326
[7] On the resilience of P2P botnet footprints in the presence of legitimate P2P traffic
Daneshgar, Fateme Faraji
Abbaspour, Maghsoud
[J]. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2019, 32 (13)
[8] Research on P2P Botnet Network Behaviors and Modeling
Li, Huabo
Hu, Guyu
Yang, Yun
[J]. INFORMATION COMPUTING AND APPLICATIONS, PT 1, 2012, 307 : 82 - 89
[9] Adaptive traffic sampling for P2P botnet detection
He, Jie
Yang, Yuexiang
Wang, Xiaolei
Tan, Zhiguo
[J]. INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT, 2017, 27 (05)
[10] Detecting P2P Traffic from the P2P Flow Graph
Kim, Jonghyun
Shah, Khushboo
Bohacek, Stephan
[J]. 2011 7TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2011, : 1795 - 1800

← 1 2 3 4 5 →